Head of Financial Services, Ratings & Data

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the financial services rating strategy encompassing banking, credit cards, loans, investing, taxes, debt, and associated personal finance subjects.

• Develop comprehensive and defensible evaluation frameworks that align with user requirements, market realities, and update schedules.

• Create proprietary financial services metrics and structured datasets for rankings, editorial purposes, and potential data products.

• Specify research and data collection prerequisites.

• Collaborate with testing, data, and research teams to ensure the quality of evidence.

• Set quality standards for financial services rating systems and scoring models.

• Act as the internal subject-matter expert on financial services market dynamics, ratings system design, and data integrity.

• Work with editorial, SEO, product, testing, and data teams to convert ratings into credible rankings and scalable data products.

⛳️ Requirements

• Over 5 years of experience in financial products, services, fintech, operations, consulting, analytics, product management, or related disciplines.

• Profound understanding of how consumers assess, purchase, and utilize financial products or services.

• Experience in constructing or managing analytical frameworks, rating systems, benchmarking initiatives, structured evaluations, or data products.

• Exceptional capability to articulate complex financial concepts into straightforward guidance for non-experts.

• Demonstrated ability to influence cross-functional stakeholders and direct efforts across editorial, product, commercial, analytics, research, or testing teams.

• Nice-to-have: Experience with a review site, marketplace, ratings organization, fintech, financial services firm, or financial data provider.

• Nice-to-have: Familiarity with model governance, validation, QA, or auditing processes for scoring and rating systems.

• Nice-to-have: Experience employing testing, surveys, secret shopping, customer research, or market research in methodologies or decision-making frameworks.

• Nice-to-have: Exposure to proprietary datasets, scoring engines, commercial data products, or extensive comparative product evaluations.

🏝️ Benefits

• Equal employment opportunities and a nondiscrimination policy.

• Compensation and training included among protected terms and conditions of employment.